J.S. Taur

2.3k total citations
66 papers, 1.8k citations indexed

About

J.S. Taur is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, J.S. Taur has authored 66 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 28 papers in Control and Systems Engineering and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in J.S. Taur's work include Fuzzy Logic and Control Systems (31 papers), Neural Networks and Applications (17 papers) and Advanced Control Systems Design (13 papers). J.S. Taur is often cited by papers focused on Fuzzy Logic and Control Systems (31 papers), Neural Networks and Applications (17 papers) and Advanced Control Systems Design (13 papers). J.S. Taur collaborates with scholars based in Taiwan, United States and Argentina. J.S. Taur's co-authors include Chin‐Wang Tao, Sun‐Yuan Kung, Cheng‐Hsuan Li, Hsin-Hua Ho, Yeong‐Hwa Chang, Bor‐Chen Kuo, Chih‐Cheng Hung, Konstantinos Diamantaras, Tsu‐Yi Hsieh and Yung-Fu Chen and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Industrial Electronics and IEEE Transactions on Signal Processing.

In The Last Decade

J.S. Taur

63 papers receiving 1.7k citations

Peers

J.S. Taur
Comparison fields: 5 of 132
  • Control and Systems Engineering 732
  • Artificial Intelligence 550
  • Computer Vision and Pattern Recognition 361
  • Media Technology 226
  • Signal Processing 190
Replace Yuhu Cheng with:
Yuhu Cheng China
Yi Liu China
Wen-June Wang Taiwan
Wenli Xu China
N. M. Fonseca Ferreira Portugal
Liang Zhang China
Li Jia China
Shijie Hao China
Zhangjie Cao China
Baochen Sun United States
Yuhu Cheng China View profile →
Citations per field, relative to J.S. Taur
J.S. Taur · 1×
Citations per year, relative to J.S. Taur
J.S. Taur · 1×

Countries citing papers authored by J.S. Taur

Since Specialization
Citations

This map shows the geographic impact of J.S. Taur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J.S. Taur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.S. Taur more than expected).

Fields of papers citing papers by J.S. Taur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.S. Taur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J.S. Taur. The network helps show where J.S. Taur may publish in the future.

Co-authorship network of co-authors of J.S. Taur

This figure shows the co-authorship network connecting the top 25 collaborators of J.S. Taur. A scholar is included among the top collaborators of J.S. Taur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.S. Taur. J.S. Taur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 8
3
Enhancing Shape Retrieval Accuracy Using Possibilistic Fuzzy Alignment with Local Features
1
4
A Simplify Type Reduction for Interval Type-2 Fuzzy Sliding Controllers
5
5 43
6 12
7 6
8 8
9 38
10 5
11 29
12 179
13 9
14 16
15 37
16 15
17 111
18 1
19 2
20
Generalized perceptron networks with nonlinear discriminant functions
5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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